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ModelRunner is a benchmarking tool for running TensorFlow Lite models on NXP microcontrollers. It supports both HTTP and UART communication modes and provides detailed latency profiling for each model layer. The model profiling information is in JSON format and can be uploaded to the upcoming eIQ AI Toolkit and eIQ AI Hub tools for more detailed analysis.
ModelRunner is available on the following MCU devices:
- FRDM-MCXN947
- MCX-N5XX-EVK
- MCX-N9XX-EVK
- MIMXRT700-EVK
- MIMXRT595-EVK
- MIMXRT685-EVK
- MIMXRT1060-EVK
- MIMXRT1170-EVK
There are two methods for using ModelRunner:
- Via an Ethernet connection to the board
- Via UART using an emulated network connection - useful for devices without Ethernet like i.MX RT700
The attached guide walks through how to use both methods. A Windows Powershell or Linux prompt should be used for this lab as a normal Windows command prompt will not parse the commands correctly.
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